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Atomic structure generation from reconstructing structural fingerprints
Victor Fung
, Shuyi Jia
, Jiaxin Zhang
, Sirui Bi
,
Junqi Yin
,
P. Ganesh
Analytics and AI Methods at Scale
Nanomaterials Theory Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
11
Scopus citations
Overview
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Dive into the research topics of 'Atomic structure generation from reconstructing structural fingerprints'. Together they form a unique fingerprint.
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Engineering
Autoencoder
50%
Crystal Structure
100%
Efficient Representation
50%
End Structure
50%
Functional Property
50%
Generative Model
100%
Learning System
100%
Machine Learning Method
50%
Nanometre
50%
Proof-of-Concept
50%
Pt Nanoparticles
50%
Computer Science
Atomic Coordinate
66%
Efficient Representation
33%
Functional Property
33%
Generative Model
66%
Learning System
100%
Machine Learning
100%
Materials of Design
33%
Representation Space
33%
Structural Representation
33%
Variational Autoencoder
33%
Material Science
Atomic Structure
100%
Crystal Structure
66%
Materials Design
33%
Nanoparticle
33%
Variational Autoencoder
33%
Chemical Engineering
Learning System
100%
Nanoparticle
33%